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If written normally, it will return a pointer to the structure.
I understand that, but what will return a structure that has no fields?
It won't do anything. It's just some kind of example, maybe a test, so it seems to me. Where is the snippet from, may I ask?
tensorflow c++ apihttps://www.tensorflow.org/install/lang_c
I have tried to connect tensorflow.dll library to MQL5
it works, got the following in the log: TF_Version=1.5.0
Both the library and the header file are in the attachment.
tensorflow c++ apihttps://www.tensorflow.org/install/lang_c
I have tried to connect tensorflow.dll library to MQL5
it works, got the following in the log: TF_Version=1.5.0
The library itself and the header file are in the attachment
Have you tried initialising arrays?
Have you tried initialising arrays?
My example is to check if the library works in MQL5 - yes it does.
i don't want to write a vrooper, i want to build the header file in mql
I'm kind of getting to the bottom of my question.
I think I've started to get the hang of it:
struct TF_Status { tensorflow::Status status; };
I'm talking about something else, my example is checking if the library will work in MQL5 - yes it will
i don't want to write a vrooper, i want to build the header file in mql
I'm kind of getting to the bottom of this question.
I think I've already got the header file in MQL5, but I've already got it in MQL5:
I think you've guessed it yourself.) Just the definition of the structure itself somewhere else, possibly in another file. Perhaps in another library.)
You don't have to write everything at once:
typedef may well be detached and dealt with elsewhere.
Quite expectedly, programming has turned into guessing. I wonder what the outcome will be...
Why not refine existing wrappers for TensorFlow and Pytorch?
Why is everyone drawn to reinventing their own wheel?
TensorFlow without Python is cut down. And you can't connect it to MQL without the intermediate wrapper because of the incompatibility of MQL and C/C++.
Why not refine existing wrappers for TensorFlow and Pytorch?
Why is everyone drawn to reinventing their own wheel?
TensorFlow without Python is cut down. And it's impossible to correctly connect it to MQL without the intermediate wrapper because of the incompatibility of MQL and C/C++.
I have seen your bicycle but for now I am interested in the implementation from TensorFlow developers
ZS: maybe this year there will be a TensorFlow API in C#https://www.tensorflow.org/lite/guide/roadmap
but basically I don't understand whatTF_NewStatus()will return?
a pointer to a piece of data of size 4 or 8 bytes.
the size depends on the platform because of the alignment. if you use something like pragma pack 1, the size will be the same (1 byte probably)